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超越模型性能:对算法监控社会技术系统的信息需求

Megan E Salwei¹, Sharon Davis¹, Laurie L Novak¹

¹Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.

Studies in health technology and informatics

|May 17, 2025

概括

此摘要是机器生成的。

持续监测人工智能 (AI) 系统,称为算法警,对于医疗保健中的患者安全至关重要. 本研究概述了人工智能监控系统所需的信息,并为有效的算法监控提供了设计指南.

关键词:

移动监控算法移动监控算法人工智能的人工智能是人工智能.以人为中心的设计

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科学领域:

医疗保健信息学医疗保健信息学
人工智能安全问题人工智能安全问题
临床决策支持临床决策支持

背景情况:

人工智能 (AI) 在医疗保健中的整合带来了新的患者安全挑战.
为了有效管理这些风险,需要对人工智能系统进行主动监测.

研究的目的:

定义AI监控和操作系统的信息要求.
为开发强大的算法监控系统提供设计指南.

主要方法:

关于人工智能监测需求的文献综述.
对运营人工智能系统的信息要求的分析.
开发用于算法监控的设计原则.

主要成果:

确定了人工智能系统监控的关键数据点和操作参数.
概述了人工智能监控平台的基本功能.
提出了算法监控系统设计的框架.

结论:

算法监控对于确保AI在临床环境中安全部署至关重要.
精心设计的监控系统对于减轻人工智能相关的患者安全风险至关重要.